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@@ -18,4 +18,6 @@ The corpus consists of a single speaker, with 4515 segments extracted from [this
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  The model was trained on a single RTX 3090 GPU. The training took about 1 day for the first checkpoint (Step 93000).
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  Based on the quality of the preview model, we are aiming for 250K Steps.
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- We created a Hungarian text cleaner function for this dataset, which can be found in the `text/cleaners.py` file.
 
 
 
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  The model was trained on a single RTX 3090 GPU. The training took about 1 day for the first checkpoint (Step 93000).
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  Based on the quality of the preview model, we are aiming for 250K Steps.
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+ ## Usage
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+ The model can be used with [JayWalnut's git repo](https://github.com/jaywalnut310/vits), but you have to modify the `text/cleaners.py` file to contain our `hungarian_cleaners` method.
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+ We provided the necessary files in our repo to do so.